PHOTON – subcellular level spatial transcriptomics
RNA localization—its specific position within subcellular structures like the nucleus, mitochondria, or stress granules—is closely…
Browsing: Spatial Analysis
SPoTLIghT – integrating histopathology and transcriptomics for spatial tumor microenvironment profiling
Cancer research is increasingly focused on understanding the tumor microenvironment (TME) — the community of…
SELF-Former – multi-scale gene filtration transformer for single-cell spatial reconstruction
Scientists have developed incredible tools to study how genes are expressed in individual cells, giving…
spacedeconv – deconvolution of tissue architecture from spatial transcriptomics
Understanding how tissues function is key to learning about both health and disease. Tissues are…
FICTURE – scalable segmentation-free analysis of submicron-resolution spatial transcriptomics
Spatial transcriptomics (ST) is an exciting area of research that lets scientists study which genes…
METI – deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics
In the ever-evolving field of cancer research, scientists are continuously developing new ways to study…
PBHL-seq – large field of view and spatial region of interest transcriptomics in fixed tissue
Understanding the complex details of how genes are expressed within different regions of a tissue…
Nova-ST – a nano-patterned ultra-dense platform for spatial transcriptomics
Understanding how genes are expressed in specific locations within tissues is crucial. This spatial information…
IRIS – integrative and reference-informed spatial domain detection for spatial transcriptomics
Spatially resolved transcriptomics (SRT) is a groundbreaking technique in biology that allows scientists to map…
STGAT – integrating spatial transcriptomics and bulk RNA-seq to predict gene expression with enhanced resolution
In cancer research, understanding how genes are expressed spatially within tumor tissues is crucial for…